Compliance & Accreditation Analytics

NAAC analytics break when scores live in PDFs while raw evidence sits in drives and departmental files that nobody reconciles to criteria. Deans and IQAC coordinators need criterion-wise visibility, not a single headline grade, to know which criteria drag the profile and which improvement plans are working.

FireAI maps SSR fields, metric lines, and qualitative judgments you already capture into NAAC analytics views by criterion, key attribute, and academic year. NBA program-specific criteria follow the same pattern with program and intake slices where your templates allow, so education compliance analytics shows trajectories the steering committee can act on before the data submission window.

How FireAI solves the problem: It standardizes labels to your rubric, versions SSR snapshots by submission cycle, and highlights deltas versus your internal target bands so NAAC analytics stay comparable year on year without losing source traceability.

What FireAI tracks:

• Criterion and key attribute scores with year-on-year and target variance
• Evidence link coverage per criterion (files tagged, owners, last refresh)
• Department or program contribution where criteria split across units
• Peer or aspirational benchmark fields you maintain for context

What you can ask FireAI:

• "Which criteria dropped the most since our last cycle and which metrics drove it?"
• "Show NAAC analytics for Criterion 2 versus our peer cluster median"

IQAC reporting fails when quality metrics are collected term-wise but not tied to program outcomes, action plans, or budget lines. A dashboard that only lists numbers does not show whether IQAC is steering improvement or just complying with a template.

FireAI joins IQAC register fields, survey results, board notes, and academic KPIs you authorize into a single education compliance analytics view. IQAC reporting surfaces participation rates, plan closure, and metric movement against goals so academic council and the principal see IQAC as a control loop, not a filing exercise.

How FireAI solves the problem: It maps your AQAR structure and internal KPI dictionary once, then refreshes as surveys, exams, and placement feeds update, so IQAC quality metric dashboards stay aligned to governance meetings without re-keying every quarter.

What FireAI tracks:

• Stated quality objectives and metric actuals by term and program
• Action item status, owner, and days open from IQAC minutes
• Student and stakeholder feedback index versus prior term
• Cross-links to criteria where a metric is shared with NAAC analytics

What you can ask FireAI:

• "Which action plans from the last IQAC are still open past deadline?"
• "How does our employer satisfaction index move vs placement rate?"

UG and PG approval compliance suffer when due dates for proposals, NOCs, and annual returns sit in inboxes, not in a system with dependencies and sign-off chains. A missed AICTE annual return or a delayed UGC extension can stall intake or new programs and become visible only when a student or auditor asks.

FireAI models filing types, cut-offs, and prerequisite documents from your register of cases into an education statutory filing tracker. UG and PG approval compliance shows what is due, in draft, with authority, or overdue, and who owns the next step, so education compliance analytics extends beyond NAAC to everyday regulatory hygiene.

How FireAI solves the problem: It layers reminders on your calendar with dependency rules (e.g., board resolution before online submission) and can reflect extension letters when you attach them, so the compliance calendar is a source of truth, not a static PDF.

What FireAI tracks:

• Due, submitted, and acknowledged dates by filing category
• Per-campus or per-institution queues when you operate a cluster
• Risk flags for intakes or approvals tied to open filings
• Historical cycle time for similar filings to plan capacity

What you can ask FireAI:

• "What UGC or AICTE filings are due in the next 30 days with no owner?"
• "Show overdue statutory items that affect PG intake this year"

Accreditation reviews fail on evidence gaps: policies exist in principle but the version on the server is old, or annexures exist but signatories are wrong. A completeness tracker is not a file dump; it is a rule set against what each criterion or approval requires for UG and PG compliance.

FireAI links folder structures, DMS metadata, and checklist templates you own into a document completeness view. education compliance analytics shows required versus uploaded, current versus expired, and signed versus draft so IQAC, NBA coordinators, and registrars see red before the visiting team does.

How FireAI solves the problem: It applies your checklist library per cycle (NAAC, NBA, NIRF, statutory) and surfaces gaps with owner and due date, optional OCR hints where filenames are opaque, and audit trail of replacements after revision.

What FireAI tracks:

• Required document list per process with status and version date
• Expiry and renewal for time-bound documents (e.g., MoUs, fire NOCs)
• Consistency of names, dates, and signatories against master registers
• Coverage rate by department and by criterion or program for NBA

What you can ask FireAI:

• "What mandatory annexures for our OBE report are still unsigned?"
• "Which programs have less than 90% document coverage for IIQA?"